scholarly journals Does the Tourist Destination Image Affect the Intention of Spa Tourism in Bandung?

2020 ◽  
Author(s):  
Angga Dewi Anggraeni ◽  
Ratih Hurriyati ◽  
Lili Adi Wibowo
Keyword(s):  
Destination Image ◽  
Tourist Destination

A Cohesive Analysis of Factors Affecting the Tourist Destination Image of Delhi

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Usha Arora ◽  
Deepti Dabas Hazarika
Keyword(s):  
National Income ◽  
Destination Image ◽  
Pertinent Literature ◽  
Tourist Destination ◽  
Factors Affecting ◽  
Tourism Marketing ◽  
The World ◽  
National Capital ◽  
Destination Management Organizations ◽  
The City

Economies all over the world are moving towards a focus on services. Tourism has emerged as a major contributor to economies all over the world. This is why specific focus is being placed on tourism, as Destination Management Organizations (DMOs) concentrate their efforts on tourism. India has been one of the countries where the share of tourism in national income has steadily been increasing. As the national capital, the city of Delhi has a major role to play in the tourist inflow to the country, as well as within the country. Successful tourism marketing requires that the concepts of tourist destination and underlying factors are comprehended in detail. An analysis of the available, pertinent literature on the area shows the manner in which numerous factors come together to form the image of a tourist destination. In fact, it needs to be understood that image formation may be done differently for different consumers. This further necessitates a detailed study of the factors influencing tourist destination image.

scholarly journals The Influence of Destination Image on Tourist Intention and Decision to Visit Tourist Destination (A Case Study of Pemuteran Village in Buleleng, Bali, Indonesia)

2017 ◽  
Vol 1 (1) ◽  
pp. 81 ◽  
Author(s):  
Ni Wayan Marsha Satyarini ◽  
Myrza Rahmanita ◽  
Sakchai Setarnawat
Keyword(s):  
Local Government ◽  
Significant Influence ◽  
Natural Environment ◽  
Quantitative Method ◽  
Local Communities ◽  
Destination Image ◽  
Sampling Techniques ◽  
Tourist Destination ◽  
Independent Variable

This study examines the effects of the destination image to tourist intention and decision to visit tourism destination in Pemuteran Village, Bali. Destination image is an independent variable, tourist intention to visit serves as an intervening variable and decision to visit is a dependent variable. Explanatory research with quantitative method is employed. The number of sample is 112 respondents. Purposive sampling techniques is applied with criteria of Pemuteran village tourists. Data are collected with questionnaires and processed with path analysis. These results indicate that the variable destination image has a direct and significant effect on tourist intention to visit by 11.3%. Variable destination image has a direct and significant influence on the decision to visit by 37.5%. Variable tourist intention to visit has been direct and significant influence on the decision to visit amounted to 16.2%. Based on these results, Pemuteran village should keep trying to build a positive image and to improve the communication between the local government and local communities to strengthen cooperation to improve the natural environment in Pemuteran village.

scholarly journals Configuration-Based Promotion: A New Approach to Destination Image Sustainability

2021 ◽  
Vol 13 (21) ◽  
pp. 12174
Author(s):  
Yanan Li ◽  
Honggen Xiao ◽  
Naipeng Bu ◽  
Jianji Luo ◽  
Hui Xia ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Destination Image ◽  
Logical Thinking ◽  
Analysis Method ◽  
Entire Region ◽  
Tourist Destination ◽  
New Approach ◽  
Tourism Image

The assessment of tourist destination images should not only be the arrangement of multiple influencing factors. This study explores the complex causal relationship for tourist destination images based on a configuration perspective to enhance the overall tourism image using the fuzzy-set qualitative comparative analysis method. The configurational paths for promoting tourism image can be categorized into two types and nine configurations in Shandong Province. Therefore, this study recommends augmenting the tourism image of the entire region with the logical thinking of “segmentation–integration” and “enhancing strengths–supplementing weakness” and finally realizing a sustainable tourist destination image.

scholarly journals Influence of Tourism Destination Products and Images on Tourist Visiting Decision to Kota Seribu Sungai Banjarmasin

2018 ◽  
Vol 2 (2) ◽  
pp. 73
Author(s):  
Devin Cahya Triansya ◽  
Beta Budisetyorini
Keyword(s):  
Positive Influence ◽  
Destination Image ◽  
Tourism Destination ◽  
Tourist Destination ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
The World ◽  
Tourism Destinations ◽  
The Impact ◽  
The City

 AbstractThe continuous rapidly growth of tourism sector with the tight competition in the field of tourismmakes not all tourist destinations in the world always experience an increase in the number of tourist visits each year. Banjarmasin City, dubbed the “Kota Seribu Sungai” or "City of Thousand Rivers" and is known as the Thousand Rivers tourist destination has experiencedfluctuate number of tourist arrivals and tend to decline. The fluctuate number of tourist arrivalssourced from tourist visiting decisions can be influenced by various factors, including tourism destination productsand image. This study aims to see the effects of tourism destination products consisting of physical products, people, packages, and programsalsothe image of tourism destinations consisting of cognitive image and affective image on tourists visiting decision to the city of Thousand River Banjarmasin. The data obtained were taken by questionnaire to 123 tourists by accidental sampling. The results of the research were analyzed using multiple linear regression with two equations, namely (I) The influence of tourism destination products on tourist visiting decision and (II) The impact of tourism destination image on tourist visiting decision. The resultsfound the positive influence of tourism destination products to thetourist visiting decision of 54.5% and the image of tourism destination on the tourist visiting decision of 53.4% and the rest of 45.5% and 46.6% influenced by other factors not examined. The results of the analysis also showed the effect of tourism destination products variable partially consisting of physical products, packages, and programs have an effect on the decision of tourists while people have no influence. As for the variable image of tourism destinations in partial consisting of cognitive image and affective image affect the decision of tourists visiting to Kota Seribu Sungai Banjarmasin. 

scholarly journals A Data Mining Technique for Tourist Destination Brand Image Building

2020 ◽  
Vol 8 (6) ◽  
pp. 4617-4622
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Tourism Industry ◽  
Destination Image ◽  
Data Mining Technique ◽  
Tourist Destination ◽  
Text Data ◽  
Clustering And Classification ◽  
Google Search

The destination image branding is the domain of tourism industry where the facts and information is collected and evaluated for finding the credibility of a target tourist destination. Manual collection and processing of collected information accurately is a complicated and time consuming task therefore a data mining model is suggested ,in this presented work that collect and evaluate the destination image accurately and based on evaluation can make the recommendations about visits of tourist. In order to perform this task data mining techniques are applied on text data source. In first the data is extracted from the Google search engine and it is preprocessed for make it impure. In further the data is labeled based on the positive and negative words available in the collected facts. Finally the clustering and classification of text is performed. For clustering of data FCM (fuzzy c means) clustering algorithm and for classification the Bayesian classifier is used. Based on final classification of text data the decision is made for the destination visits.

A Terrorism-Inflicted Causality in Kashmir

2021 ◽  
pp. 187-211
Author(s):  
Anubha ◽  
Mahender Reddy Gavinolla
Keyword(s):  
Political Stability ◽  
Destination Image ◽  
The Political ◽  
Structured Interviews ◽  
Tourist Destination ◽  
Tourist Destinations ◽  
Travel Agencies ◽  
Negative Impacts

Terrorist incidents at tourist destinations create several negative impacts. Many studies have focused on the intent of the tourists to visit a place affected by terrorism. However, there are no studies gauging the perceptions of travel agencies and tour operators. In this regard, this particular study intends to understand the detrimental effects of terrorism on various travel agencies and tour operators operating in Kashmir in India, which also form a part of MSMEs. Case study and semi-structured interviews have been used. The findings clearly illustrate that terrorism does have detrimental effects on a tourist destination and, in turn, deleterious effects on the travel agencies and tour operators operating in the region. It is also evident that there are political instabilities and lack of promotion and marketing of the destination. It is hoped that the political stability and proper promotion will lead to positive destination image and better management of the destination.

Spectrum of Intelligent Tourist Destination Image Decision Information System

2021 ◽  
pp. 1-22
Author(s):  
Pankaj Srivastava ◽  
Saurabh Srivastav ◽  
Yannakorn Toprayoon
Keyword(s):  
Information System ◽  
Destination Image ◽  
Tourist Destination

Social Media's Influence on Destination Image

2022 ◽  
pp. 230-246
Author(s):  
Maria Angeles Garcia-Haro ◽  
Maria Pilar Martinez-Ruiz ◽  
Ricardo Martinez-Cañas ◽  
Pablo Ruiz-Palomino
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Communication Channels ◽  
World Heritage ◽  
Destination Image ◽  
Limited Attention ◽  
Tourist Destination ◽  
Marketing Literature ◽  
Tourism Marketing

Social media have become key tools for promoting and spreading the image of a tourist destination. In particular, these communication channels are critical for heritage destinations looking to boost awareness and attract a greater number of visitors. However, the tourism marketing literature has devoted limited attention to how these destinations project their image on social media. In order to cover this gap, this chapter focuses on analyzing the image projected by a specific heritage destination—Cuenca, a World Heritage City—on Facebook and Instagram. To this end, the chapter analyzes the posts, comments, and hashtags that have been published on the different tourism pages about Cuenca. The results of the analysis underscore the growing importance of the image projected by destinations on social networks. That said, there is a need to deepen our knowledge about the communication potential of these channels.

scholarly journals Archeological Tourist Destination Image Formation: Influence of Information Sources on the Cognitive, Affective and Unique Image

2019 ◽  
Vol 10 ◽  
Author(s):  
Nuria Huete-Alcocer ◽  
Maria Pilar Martinez-Ruiz ◽  
Víctor Raúl López-Ruiz ◽  
Alicia Izquiedo-Yusta
Keyword(s):  
Information Sources ◽  
Image Formation ◽  
Destination Image ◽  
Tourist Destination
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